[Publication] Machine-Learning for SuperAlloys
'Multiscale Computational Framework Linking Alloy Composition to Microstructure Evolution via Machine Learning and Nanoscale Analysis,' Jaemin Wang, Hyeonseok Kwon, Sang-Ho Oh, Jae Heung Lee, Dae Won Yun, Hyungsoo Lee, Seong-Moon Seo, Young-Soo Yoo, Hi Won Jeong, Hyoung Seop Kim, Byeong-Joo Lee, NPJ Computational Materials (2025), accepted for publication.
- [Publication] M-L for Hydrogen Storage in TiMn2-Type Alloys
- [Congratulations] Prof. Won-Seok Ko at Korea University
- [Congratulations] Ma-Tae Lee - 2025 CALPHAD Poster Award
- [Publication] Understanding the Synergistic Co-Mo Effect in Maraging Steels
- [Publication] High Performance AM Phase Field Simulation
- [Publication] M-L Prediction of Solidification Range in Alloy Systems
| 머신러닝 소스 코드 모음 | 2025-03-06 |
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PBF 상대밀도 & 공정 조건 예측 프로그램
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2023-11-11 |
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Excellent Thesis Award
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2021-12-23 |
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WISET KIM Award
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2018-11-08 |
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학부생을 위한 전산 소재 공정설계 그룹 홈페이지
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2018-04-19 |
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